BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Drupal iCal API//EN
X-WR-CALNAME:Events items teaser
X-WR-TIMEZONE:America/Toronto
BEGIN:VTIMEZONE
TZID:America/Toronto
X-LIC-LOCATION:America/Toronto
BEGIN:DAYLIGHT
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
DTSTART:20221106T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:69df5e66be61e
DTSTART;TZID=America/Toronto:20230420T130000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20230420T140000
URL:https://uwaterloo.ca/computer-science/events/seminar-machine-learning-b
 ackpropagation-beyond-gradient
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West DC 2585 Waterloo ON N2L 3G1 Canada
SUMMARY:Seminar • Machine Learning • Backpropagation Beyond the Gradien
 t
CLASS:PUBLIC
DESCRIPTION:PLEASE NOTE: THIS SEMINAR WILL TAKE PLACE IN DC 2585.\n\nFELIX 
 DANGEL\, POSTDOCTORAL RESEARCHER\n_Vector Institute for Artificial Intelli
 gence_\n\nPopular deep learning frameworks prioritize computing the averag
 e\nmini-batch gradient. Yet\, other quantities such as its variance or\nma
 ny approximations to the Hessian can be computed efficiently\, and at\nthe
  same time as the gradient mean. They are of great interest to\nresearcher
 s and practitioners\, but implementing them is often\nburdensome or ineffi
 cient.
DTSTAMP:20260415T094614Z
END:VEVENT
END:VCALENDAR